Overview

Dataset statistics

Number of variables27
Number of observations1941
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory409.6 KiB
Average record size in memory216.1 B

Variable types

Numeric24
Categorical3

Alerts

Edges_X_Index is highly overall correlated with LogOfAreas and 7 other fieldsHigh correlation
Edges_Y_Index is highly overall correlated with Empty_Index and 9 other fieldsHigh correlation
Empty_Index is highly overall correlated with Edges_Y_Index and 3 other fieldsHigh correlation
LogOfAreas is highly overall correlated with Edges_X_Index and 10 other fieldsHigh correlation
Log_X_Index is highly overall correlated with Edges_Y_Index and 10 other fieldsHigh correlation
Log_Y_Index is highly overall correlated with Edges_X_Index and 9 other fieldsHigh correlation
Luminosity_Index is highly overall correlated with Maximum_of_Luminosity and 1 other fieldsHigh correlation
Maximum_of_Luminosity is highly overall correlated with Luminosity_IndexHigh correlation
Minimum_of_Luminosity is highly overall correlated with LogOfAreas and 5 other fieldsHigh correlation
Orientation_Index is highly overall correlated with Edges_X_Index and 3 other fieldsHigh correlation
Outside_Global_Index is highly overall correlated with Orientation_IndexHigh correlation
Outside_X_Index is highly overall correlated with Edges_Y_Index and 9 other fieldsHigh correlation
Pixels_Areas is highly overall correlated with Edges_X_Index and 10 other fieldsHigh correlation
SigmoidOfAreas is highly overall correlated with Edges_X_Index and 10 other fieldsHigh correlation
Steel_Plate_Thickness is highly overall correlated with TypeOfSteel_A300 and 1 other fieldsHigh correlation
Sum_of_Luminosity is highly overall correlated with Edges_X_Index and 9 other fieldsHigh correlation
TypeOfSteel_A300 is highly overall correlated with Steel_Plate_Thickness and 1 other fieldsHigh correlation
TypeOfSteel_A400 is highly overall correlated with Steel_Plate_Thickness and 1 other fieldsHigh correlation
X_Maximum is highly overall correlated with X_MinimumHigh correlation
X_Minimum is highly overall correlated with X_MaximumHigh correlation
X_Perimeter is highly overall correlated with Edges_X_Index and 10 other fieldsHigh correlation
Y_Maximum is highly overall correlated with Y_MinimumHigh correlation
Y_Minimum is highly overall correlated with Y_MaximumHigh correlation
Y_Perimeter is highly overall correlated with Edges_X_Index and 10 other fieldsHigh correlation
X_Perimeter is highly skewed (γ1 = 21.5394512)Skewed
Y_Perimeter is highly skewed (γ1 = 39.29315841)Skewed
X_Minimum has 38 (2.0%) zerosZeros
Edges_Index has 38 (2.0%) zerosZeros
Orientation_Index has 91 (4.7%) zerosZeros

Reproduction

Analysis started2024-05-08 12:24:31.656775
Analysis finished2024-05-08 12:27:30.392246
Duration2 minutes and 58.74 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

X_Minimum
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct962
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean571.13601
Minimum0
Maximum1705
Zeros38
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:30.659993image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q151
median435
Q31053
95-th percentile1538
Maximum1705
Range1705
Interquartile range (IQR)1002

Descriptive statistics

Standard deviation520.69067
Coefficient of variation (CV)0.91167543
Kurtosis-1.1451435
Mean571.13601
Median Absolute Deviation (MAD)395
Skewness0.5008972
Sum1108575
Variance271118.78
MonotonicityNot monotonic
2024-05-08T12:27:31.214610image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 126
 
6.5%
39 125
 
6.4%
0 38
 
2.0%
43 18
 
0.9%
37 12
 
0.6%
2 8
 
0.4%
19 8
 
0.4%
9 8
 
0.4%
13 7
 
0.4%
15 7
 
0.4%
Other values (952) 1584
81.6%
ValueCountFrequency (%)
0 38
2.0%
1 6
 
0.3%
2 8
 
0.4%
3 3
 
0.2%
4 4
 
0.2%
5 3
 
0.2%
6 4
 
0.2%
7 3
 
0.2%
8 3
 
0.2%
9 8
 
0.4%
ValueCountFrequency (%)
1705 1
 
0.1%
1688 1
 
0.1%
1687 2
0.1%
1685 1
 
0.1%
1683 1
 
0.1%
1682 1
 
0.1%
1680 1
 
0.1%
1678 1
 
0.1%
1677 3
0.2%
1675 1
 
0.1%

X_Maximum
Real number (ℝ)

HIGH CORRELATION 

Distinct994
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean617.96445
Minimum4
Maximum1713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:31.697023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile29
Q1192
median467
Q31072
95-th percentile1561
Maximum1713
Range1709
Interquartile range (IQR)880

Descriptive statistics

Standard deviation497.62741
Coefficient of variation (CV)0.80526867
Kurtosis-1.0775255
Mean617.96445
Median Absolute Deviation (MAD)349
Skewness0.52420967
Sum1199469
Variance247633.04
MonotonicityNot monotonic
2024-05-08T12:27:32.237765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212 23
 
1.2%
214 22
 
1.1%
218 21
 
1.1%
216 19
 
1.0%
194 14
 
0.7%
211 13
 
0.7%
192 12
 
0.6%
209 11
 
0.6%
193 10
 
0.5%
210 9
 
0.5%
Other values (984) 1787
92.1%
ValueCountFrequency (%)
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
8 3
 
0.2%
9 2
 
0.1%
10 3
 
0.2%
11 3
 
0.2%
12 4
0.2%
13 5
0.3%
14 8
0.4%
ValueCountFrequency (%)
1713 1
 
0.1%
1712 1
 
0.1%
1696 1
 
0.1%
1694 2
0.1%
1692 1
 
0.1%
1690 1
 
0.1%
1689 1
 
0.1%
1688 3
0.2%
1687 2
0.1%
1686 1
 
0.1%

Y_Minimum
Real number (ℝ)

HIGH CORRELATION 

Distinct1939
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1650684.9
Minimum6712
Maximum12987661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:32.593986image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6712
5-th percentile86773
Q1471253
median1204128
Q32183073
95-th percentile4532922
Maximum12987661
Range12980949
Interquartile range (IQR)1711820

Descriptive statistics

Standard deviation1774578.4
Coefficient of variation (CV)1.0750558
Kurtosis11.357575
Mean1650684.9
Median Absolute Deviation (MAD)817349
Skewness2.8112132
Sum3.2039793 × 109
Variance3.1491286 × 1012
MonotonicityNot monotonic
2024-05-08T12:27:32.936472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1803992 2
 
0.1%
28972 2
 
0.1%
270900 1
 
0.1%
430948 1
 
0.1%
409986 1
 
0.1%
402394 1
 
0.1%
393457 1
 
0.1%
379740 1
 
0.1%
375592 1
 
0.1%
363701 1
 
0.1%
Other values (1929) 1929
99.4%
ValueCountFrequency (%)
6712 1
0.1%
7003 1
0.1%
7430 1
0.1%
7851 1
0.1%
9007 1
0.1%
9228 1
0.1%
12799 1
0.1%
13302 1
0.1%
14524 1
0.1%
15184 1
0.1%
ValueCountFrequency (%)
12987661 1
0.1%
12917033 1
0.1%
12806495 1
0.1%
12725281 1
0.1%
12577343 1
0.1%
12438460 1
0.1%
12416454 1
0.1%
11741476 1
0.1%
11569824 1
0.1%
11499942 1
0.1%

Y_Maximum
Real number (ℝ)

HIGH CORRELATION 

Distinct1940
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1650738.7
Minimum6724
Maximum12987692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:33.273202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum6724
5-th percentile86815
Q1471281
median1204136
Q32183084
95-th percentile4532948
Maximum12987692
Range12980968
Interquartile range (IQR)1711803

Descriptive statistics

Standard deviation1774590.1
Coefficient of variation (CV)1.0750279
Kurtosis11.357194
Mean1650738.7
Median Absolute Deviation (MAD)817342
Skewness2.811169
Sum3.2040838 × 109
Variance3.14917 × 1012
MonotonicityNot monotonic
2024-05-08T12:27:33.599365image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28984 2
 
0.1%
270944 1
 
0.1%
1229628 1
 
0.1%
410023 1
 
0.1%
402418 1
 
0.1%
393488 1
 
0.1%
379759 1
 
0.1%
375611 1
 
0.1%
363718 1
 
0.1%
149070 1
 
0.1%
Other values (1930) 1930
99.4%
ValueCountFrequency (%)
6724 1
0.1%
7020 1
0.1%
7458 1
0.1%
7865 1
0.1%
9033 1
0.1%
9246 1
0.1%
12804 1
0.1%
13320 1
0.1%
14551 1
0.1%
15196 1
0.1%
ValueCountFrequency (%)
12987692 1
0.1%
12917094 1
0.1%
12806520 1
0.1%
12725314 1
0.1%
12577396 1
0.1%
12438491 1
0.1%
12416473 1
0.1%
11741833 1
0.1%
11569844 1
0.1%
11499957 1
0.1%

Pixels_Areas
Real number (ℝ)

HIGH CORRELATION 

Distinct920
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1893.8784
Minimum2
Maximum152655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:33.898300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile39
Q184
median174
Q3822
95-th percentile11211
Maximum152655
Range152653
Interquartile range (IQR)738

Descriptive statistics

Standard deviation5168.4596
Coefficient of variation (CV)2.7290345
Kurtosis375.8382
Mean1893.8784
Median Absolute Deviation (MAD)114
Skewness14.083822
Sum3676018
Variance26712974
MonotonicityNot monotonic
2024-05-08T12:27:34.223286image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 19
 
1.0%
68 19
 
1.0%
60 18
 
0.9%
55 16
 
0.8%
51 15
 
0.8%
16 15
 
0.8%
74 14
 
0.7%
110 14
 
0.7%
63 14
 
0.7%
67 14
 
0.7%
Other values (910) 1783
91.9%
ValueCountFrequency (%)
2 2
 
0.1%
6 2
 
0.1%
8 2
 
0.1%
9 2
 
0.1%
10 1
 
0.1%
11 1
 
0.1%
12 10
0.5%
14 1
 
0.1%
15 3
 
0.2%
16 15
0.8%
ValueCountFrequency (%)
152655 1
0.1%
37334 1
0.1%
25473 1
0.1%
25323 1
0.1%
24365 1
0.1%
22554 1
0.1%
21987 1
0.1%
21110 1
0.1%
21036 1
0.1%
20894 1
0.1%

X_Perimeter
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct399
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.85523
Minimum2
Maximum10449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:34.555315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q115
median26
Q384
95-th percentile616
Maximum10449
Range10447
Interquartile range (IQR)69

Descriptive statistics

Standard deviation301.20919
Coefficient of variation (CV)2.6928485
Kurtosis715.95655
Mean111.85523
Median Absolute Deviation (MAD)15
Skewness21.539451
Sum217111
Variance90726.974
MonotonicityNot monotonic
2024-05-08T12:27:34.856565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 81
 
4.2%
15 75
 
3.9%
13 71
 
3.7%
14 69
 
3.6%
11 58
 
3.0%
16 57
 
2.9%
10 55
 
2.8%
9 52
 
2.7%
17 51
 
2.6%
18 51
 
2.6%
Other values (389) 1321
68.1%
ValueCountFrequency (%)
2 2
 
0.1%
3 2
 
0.1%
4 6
 
0.3%
5 10
 
0.5%
6 18
 
0.9%
7 14
 
0.7%
8 28
1.4%
9 52
2.7%
10 55
2.8%
11 58
3.0%
ValueCountFrequency (%)
10449 1
0.1%
1275 1
0.1%
1193 1
0.1%
1169 1
0.1%
1138 1
0.1%
1084 1
0.1%
1050 1
0.1%
1022 1
0.1%
1021 1
0.1%
1015 1
0.1%

Y_Perimeter
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct317
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.965997
Minimum1
Maximum18152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:35.194697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median25
Q383
95-th percentile381
Maximum18152
Range18151
Interquartile range (IQR)70

Descriptive statistics

Standard deviation426.48288
Coefficient of variation (CV)5.1404539
Kurtosis1663.0518
Mean82.965997
Median Absolute Deviation (MAD)14
Skewness39.293158
Sum161037
Variance181887.65
MonotonicityNot monotonic
2024-05-08T12:27:35.495539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 87
 
4.5%
12 78
 
4.0%
10 72
 
3.7%
13 61
 
3.1%
14 60
 
3.1%
17 55
 
2.8%
15 54
 
2.8%
20 45
 
2.3%
8 44
 
2.3%
16 43
 
2.2%
Other values (307) 1342
69.1%
ValueCountFrequency (%)
1 2
 
0.1%
2 2
 
0.1%
3 9
 
0.5%
4 35
1.8%
5 17
 
0.9%
6 19
 
1.0%
7 35
1.8%
8 44
2.3%
9 35
1.8%
10 72
3.7%
ValueCountFrequency (%)
18152 1
0.1%
903 1
0.1%
712 1
0.1%
709 1
0.1%
696 1
0.1%
684 1
0.1%
680 1
0.1%
605 1
0.1%
604 1
0.1%
597 1
0.1%

Sum_of_Luminosity
Real number (ℝ)

HIGH CORRELATION 

Distinct1909
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206312.15
Minimum250
Maximum11591414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:35.785194image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile4347
Q19522
median19202
Q383011
95-th percentile1293558
Maximum11591414
Range11591164
Interquartile range (IQR)73489

Descriptive statistics

Standard deviation512293.59
Coefficient of variation (CV)2.4830995
Kurtosis131.49526
Mean206312.15
Median Absolute Deviation (MAD)12505
Skewness7.73072
Sum4.0045188 × 108
Variance2.6244472 × 1011
MonotonicityNot monotonic
2024-05-08T12:27:36.127909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8140 2
 
0.1%
41476 2
 
0.1%
13352 2
 
0.1%
16308 2
 
0.1%
6216 2
 
0.1%
10024 2
 
0.1%
29002 2
 
0.1%
13351 2
 
0.1%
11890 2
 
0.1%
7502 2
 
0.1%
Other values (1899) 1921
99.0%
ValueCountFrequency (%)
250 1
0.1%
255 1
0.1%
718 1
0.1%
764 1
0.1%
775 1
0.1%
950 1
0.1%
958 1
0.1%
1059 1
0.1%
1063 1
0.1%
1233 1
0.1%
ValueCountFrequency (%)
11591414 1
0.1%
3918209 1
0.1%
3061597 1
0.1%
3037459 1
0.1%
2935414 1
0.1%
2712104 1
0.1%
2638402 1
0.1%
2554885 1
0.1%
2529140 1
0.1%
2519511 1
0.1%

Maximum_of_Luminosity
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.19371
Minimum37
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:36.433267image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile102
Q1124
median127
Q3140
95-th percentile156
Maximum253
Range216
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.690992
Coefficient of variation (CV)0.14356294
Kurtosis7.8584205
Mean130.19371
Median Absolute Deviation (MAD)8
Skewness1.2870354
Sum252706
Variance349.35318
MonotonicityNot monotonic
2024-05-08T12:27:36.742822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127 194
 
10.0%
126 151
 
7.8%
124 146
 
7.5%
141 129
 
6.6%
125 112
 
5.8%
132 109
 
5.6%
143 97
 
5.0%
140 95
 
4.9%
134 95
 
4.9%
135 88
 
4.5%
Other values (90) 725
37.4%
ValueCountFrequency (%)
37 1
 
0.1%
39 1
 
0.1%
70 1
 
0.1%
71 3
 
0.2%
77 2
 
0.1%
78 3
 
0.2%
79 2
 
0.1%
82 1
 
0.1%
84 9
0.5%
85 1
 
0.1%
ValueCountFrequency (%)
253 1
 
0.1%
252 2
 
0.1%
247 1
 
0.1%
236 1
 
0.1%
221 1
 
0.1%
220 1
 
0.1%
213 1
 
0.1%
212 3
0.2%
210 1
 
0.1%
207 5
0.3%

Length_of_Conveyer
Real number (ℝ)

Distinct84
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1459.1602
Minimum1227
Maximum1794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:37.039493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1227
5-th percentile1353
Q11358
median1364
Q31650
95-th percentile1692
Maximum1794
Range567
Interquartile range (IQR)292

Descriptive statistics

Standard deviation144.57782
Coefficient of variation (CV)0.099082898
Kurtosis-1.1917137
Mean1459.1602
Median Absolute Deviation (MAD)11
Skewness0.85142225
Sum2832230
Variance20902.747
MonotonicityNot monotonic
2024-05-08T12:27:37.341537image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1358 242
 
12.5%
1356 186
 
9.6%
1360 156
 
8.0%
1362 107
 
5.5%
1364 101
 
5.2%
1692 94
 
4.8%
1353 85
 
4.4%
1687 84
 
4.3%
1354 81
 
4.2%
1387 68
 
3.5%
Other values (74) 737
38.0%
ValueCountFrequency (%)
1227 3
0.2%
1280 1
 
0.1%
1306 4
0.2%
1308 2
0.1%
1320 1
 
0.1%
1322 3
0.2%
1324 1
 
0.1%
1333 2
0.1%
1336 1
 
0.1%
1346 2
0.1%
ValueCountFrequency (%)
1794 1
 
0.1%
1715 2
 
0.1%
1712 1
 
0.1%
1710 6
 
0.3%
1708 3
 
0.2%
1707 1
 
0.1%
1700 2
 
0.1%
1698 19
1.0%
1696 21
1.1%
1694 36
1.9%

TypeOfSteel_A300
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
0
1164 
1
777 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1941
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

Length

2024-05-08T12:27:38.791887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-08T12:27:39.043100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

Most occurring characters

ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1164
60.0%
1 777
40.0%

TypeOfSteel_A400
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
1
1164 
0
777 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1941
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Length

2024-05-08T12:27:39.277163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-08T12:27:39.534645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Most occurring characters

ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1941
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1164
60.0%
0 777
40.0%

Steel_Plate_Thickness
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.737764
Minimum40
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:39.746080image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q140
median70
Q380
95-th percentile200
Maximum300
Range260
Interquartile range (IQR)40

Descriptive statistics

Standard deviation55.086032
Coefficient of variation (CV)0.69961387
Kurtosis4.9378385
Mean78.737764
Median Absolute Deviation (MAD)30
Skewness2.2069351
Sum152830
Variance3034.4709
MonotonicityNot monotonic
2024-05-08T12:27:40.017134image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 710
36.6%
70 380
19.6%
100 154
 
7.9%
80 150
 
7.7%
50 115
 
5.9%
60 87
 
4.5%
200 79
 
4.1%
300 43
 
2.2%
69 39
 
2.0%
175 33
 
1.7%
Other values (14) 151
 
7.8%
ValueCountFrequency (%)
40 710
36.6%
50 115
 
5.9%
60 87
 
4.5%
69 39
 
2.0%
70 380
19.6%
80 150
 
7.7%
85 4
 
0.2%
90 23
 
1.2%
100 154
 
7.9%
120 25
 
1.3%
ValueCountFrequency (%)
300 43
2.2%
290 2
 
0.1%
250 2
 
0.1%
220 16
 
0.8%
211 5
 
0.3%
200 79
4.1%
185 14
 
0.7%
180 2
 
0.1%
175 33
1.7%
150 26
 
1.3%

Edges_Index
Real number (ℝ)

ZEROS 

Distinct1387
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3317152
Minimum0
Maximum0.9952
Zeros38
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:40.326674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0118
Q10.0604
median0.2273
Q30.5738
95-th percentile0.9029
Maximum0.9952
Range0.9952
Interquartile range (IQR)0.5134

Descriptive statistics

Standard deviation0.29971175
Coefficient of variation (CV)0.9035213
Kurtosis-0.90420928
Mean0.3317152
Median Absolute Deviation (MAD)0.1742
Skewness0.68577108
Sum643.8592
Variance0.089827132
MonotonicityNot monotonic
2024-05-08T12:27:40.630110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0604 43
 
2.2%
0 38
 
2.0%
0.0574 34
 
1.8%
0.0557 30
 
1.5%
0.0585 25
 
1.3%
0.0605 24
 
1.2%
0.0556 21
 
1.1%
0.0586 21
 
1.1%
0.0575 20
 
1.0%
0.0558 12
 
0.6%
Other values (1377) 1673
86.2%
ValueCountFrequency (%)
0 38
2.0%
0.0012 2
 
0.1%
0.0014 2
 
0.1%
0.0015 4
 
0.2%
0.0023 1
 
0.1%
0.0024 8
 
0.4%
0.003 3
 
0.2%
0.0035 1
 
0.1%
0.0036 2
 
0.1%
0.0043 1
 
0.1%
ValueCountFrequency (%)
0.9952 1
 
0.1%
0.9923 1
 
0.1%
0.9905 1
 
0.1%
0.9897 1
 
0.1%
0.9846 2
0.1%
0.9835 1
 
0.1%
0.9834 1
 
0.1%
0.9816 1
 
0.1%
0.9808 3
0.2%
0.9795 1
 
0.1%

Empty_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct1338
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41420335
Minimum0
Maximum0.9439
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:40.939193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2083
Q10.3158
median0.4121
Q30.5016
95-th percentile0.6448
Maximum0.9439
Range0.9439
Interquartile range (IQR)0.1858

Descriptive statistics

Standard deviation0.13726149
Coefficient of variation (CV)0.33138672
Kurtosis0.18930051
Mean0.41420335
Median Absolute Deviation (MAD)0.0929
Skewness0.29346776
Sum803.9687
Variance0.018840716
MonotonicityNot monotonic
2024-05-08T12:27:41.253731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3333 28
 
1.4%
0.25 21
 
1.1%
0.2222 12
 
0.6%
0.3636 12
 
0.6%
0.2 12
 
0.6%
0.375 11
 
0.6%
0.4 11
 
0.6%
0.5 10
 
0.5%
0.3 10
 
0.5%
0.2778 9
 
0.5%
Other values (1328) 1805
93.0%
ValueCountFrequency (%)
0 2
0.1%
0.0278 1
0.1%
0.0368 1
0.1%
0.0595 1
0.1%
0.0682 1
0.1%
0.0714 1
0.1%
0.0781 1
0.1%
0.0818 1
0.1%
0.0926 1
0.1%
0.0972 1
0.1%
ValueCountFrequency (%)
0.9439 1
0.1%
0.9275 1
0.1%
0.894 1
0.1%
0.8888 1
0.1%
0.8856 1
0.1%
0.8817 1
0.1%
0.8767 1
0.1%
0.8648 1
0.1%
0.8487 1
0.1%
0.8473 1
0.1%

Square_Index
Real number (ℝ)

Distinct770
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57076713
Minimum0.0083
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:41.548444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0083
5-th percentile0.125
Q10.3613
median0.5556
Q30.8182
95-th percentile0.9912
Maximum1
Range0.9917
Interquartile range (IQR)0.4569

Descriptive statistics

Standard deviation0.27105839
Coefficient of variation (CV)0.47490188
Kurtosis-1.1580304
Mean0.57076713
Median Absolute Deviation (MAD)0.2223
Skewness-0.056305677
Sum1107.859
Variance0.073472648
MonotonicityNot monotonic
2024-05-08T12:27:41.853338image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 91
 
4.7%
0.8 42
 
2.2%
0.5 38
 
2.0%
0.6667 37
 
1.9%
0.3333 31
 
1.6%
0.75 30
 
1.5%
0.8889 28
 
1.4%
0.9091 27
 
1.4%
0.8571 25
 
1.3%
0.4 24
 
1.2%
Other values (760) 1568
80.8%
ValueCountFrequency (%)
0.0083 1
0.1%
0.009 1
0.1%
0.0261 1
0.1%
0.0294 1
0.1%
0.0393 1
0.1%
0.0396 1
0.1%
0.0408 1
0.1%
0.0422 1
0.1%
0.0441 1
0.1%
0.0448 1
0.1%
ValueCountFrequency (%)
1 91
4.7%
0.9955 1
 
0.1%
0.9945 1
 
0.1%
0.9942 3
 
0.2%
0.993 1
 
0.1%
0.9912 1
 
0.1%
0.9895 1
 
0.1%
0.9884 1
 
0.1%
0.9867 1
 
0.1%
0.9832 1
 
0.1%

Outside_X_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct454
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.033361103
Minimum0.0015
Maximum0.8759
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:42.162955image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0015
5-th percentile0.0044
Q10.0066
median0.0101
Q30.0235
95-th percentile0.1289
Maximum0.8759
Range0.8744
Interquartile range (IQR)0.0169

Descriptive statistics

Standard deviation0.058961169
Coefficient of variation (CV)1.7673627
Kurtosis46.109128
Mean0.033361103
Median Absolute Deviation (MAD)0.0047
Skewness5.1818301
Sum64.7539
Variance0.0034764195
MonotonicityNot monotonic
2024-05-08T12:27:42.549053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0059 75
 
3.9%
0.0066 71
 
3.7%
0.0081 53
 
2.7%
0.0088 48
 
2.5%
0.0053 46
 
2.4%
0.0074 45
 
2.3%
0.0044 42
 
2.2%
0.0047 42
 
2.2%
0.0065 40
 
2.1%
0.0052 40
 
2.1%
Other values (444) 1439
74.1%
ValueCountFrequency (%)
0.0015 2
 
0.1%
0.0022 3
 
0.2%
0.0024 1
 
0.1%
0.0029 4
 
0.2%
0.003 6
 
0.3%
0.0035 5
 
0.3%
0.0036 8
 
0.4%
0.0037 29
1.5%
0.0041 20
1.0%
0.0042 2
 
0.1%
ValueCountFrequency (%)
0.8759 1
0.1%
0.6226 1
0.1%
0.6209 1
0.1%
0.5906 1
0.1%
0.5692 1
0.1%
0.4964 1
0.1%
0.4957 1
0.1%
0.4698 1
0.1%
0.4177 1
0.1%
0.3878 1
0.1%

Edges_X_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct818
Distinct (%)42.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.61052865
Minimum0.0144
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:43.065920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0144
5-th percentile0.2105
Q10.4118
median0.6364
Q30.8
95-th percentile1
Maximum1
Range0.9856
Interquartile range (IQR)0.3882

Descriptive statistics

Standard deviation0.24327692
Coefficient of variation (CV)0.3984693
Kurtosis-0.9302592
Mean0.61052865
Median Absolute Deviation (MAD)0.1819
Skewness-0.23509587
Sum1185.0361
Variance0.059183659
MonotonicityNot monotonic
2024-05-08T12:27:43.604173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 135
 
7.0%
0.8 49
 
2.5%
0.75 43
 
2.2%
0.6667 41
 
2.1%
0.5 33
 
1.7%
0.8333 24
 
1.2%
0.9 21
 
1.1%
0.8571 21
 
1.1%
0.7778 20
 
1.0%
0.8889 20
 
1.0%
Other values (808) 1534
79.0%
ValueCountFrequency (%)
0.0144 1
0.1%
0.0645 1
0.1%
0.0657 1
0.1%
0.0717 1
0.1%
0.0724 1
0.1%
0.0782 1
0.1%
0.0794 1
0.1%
0.0874 1
0.1%
0.0909 1
0.1%
0.0968 1
0.1%
ValueCountFrequency (%)
1 135
7.0%
0.9965 1
 
0.1%
0.9879 1
 
0.1%
0.9828 1
 
0.1%
0.9804 1
 
0.1%
0.9776 1
 
0.1%
0.975 1
 
0.1%
0.9688 2
 
0.1%
0.9682 1
 
0.1%
0.9671 1
 
0.1%

Edges_Y_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct648
Distinct (%)33.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81347223
Minimum0.0484
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:44.041713image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.0484
5-th percentile0.381
Q10.5968
median0.9474
Q31
95-th percentile1
Maximum1
Range0.9516
Interquartile range (IQR)0.4032

Descriptive statistics

Standard deviation0.23427362
Coefficient of variation (CV)0.28799216
Kurtosis-0.56319361
Mean0.81347223
Median Absolute Deviation (MAD)0.0526
Skewness-0.92858241
Sum1578.9496
Variance0.05488413
MonotonicityNot monotonic
2024-05-08T12:27:44.498352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 820
42.2%
0.6667 19
 
1.0%
0.9231 16
 
0.8%
0.8333 16
 
0.8%
0.75 16
 
0.8%
0.9091 14
 
0.7%
0.8 14
 
0.7%
0.9167 13
 
0.7%
0.9 12
 
0.6%
0.875 12
 
0.6%
Other values (638) 989
51.0%
ValueCountFrequency (%)
0.0484 1
0.1%
0.105 1
0.1%
0.1123 1
0.1%
0.1312 1
0.1%
0.1321 1
0.1%
0.1378 1
0.1%
0.1379 1
0.1%
0.1463 1
0.1%
0.1509 2
0.1%
0.1521 1
0.1%
ValueCountFrequency (%)
1 820
42.2%
0.9994 1
 
0.1%
0.9977 1
 
0.1%
0.9973 1
 
0.1%
0.9931 2
 
0.1%
0.9925 1
 
0.1%
0.9921 2
 
0.1%
0.992 1
 
0.1%
0.9917 1
 
0.1%
0.9916 1
 
0.1%

Outside_Global_Index
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
1.0
1072 
0.0
778 
0.5
 
91

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters5823
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1072
55.2%
0.0 778
40.1%
0.5 91
 
4.7%

Length

2024-05-08T12:27:44.924250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-08T12:27:45.396526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1072
55.2%
0.0 778
40.1%
0.5 91
 
4.7%

Most occurring characters

ValueCountFrequency (%)
0 2719
46.7%
. 1941
33.3%
1 1072
 
18.4%
5 91
 
1.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5823
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2719
46.7%
. 1941
33.3%
1 1072
 
18.4%
5 91
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5823
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2719
46.7%
. 1941
33.3%
1 1072
 
18.4%
5 91
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5823
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2719
46.7%
. 1941
33.3%
1 1072
 
18.4%
5 91
 
1.6%

LogOfAreas
Real number (ℝ)

HIGH CORRELATION 

Distinct914
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4923884
Minimum0.301
Maximum5.1837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:45.855849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.301
5-th percentile1.5911
Q11.9243
median2.2406
Q32.9149
95-th percentile4.0496
Maximum5.1837
Range4.8827
Interquartile range (IQR)0.9906

Descriptive statistics

Standard deviation0.78892985
Coefficient of variation (CV)0.31653568
Kurtosis-0.33921066
Mean2.4923884
Median Absolute Deviation (MAD)0.4017
Skewness0.74828448
Sum4837.7258
Variance0.62241031
MonotonicityNot monotonic
2024-05-08T12:27:46.290309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8325 19
 
1.0%
1.716 19
 
1.0%
1.7781 18
 
0.9%
1.7404 16
 
0.8%
1.7076 15
 
0.8%
1.2041 15
 
0.8%
1.7993 14
 
0.7%
1.7482 14
 
0.7%
1.8261 14
 
0.7%
1.8692 14
 
0.7%
Other values (904) 1783
91.9%
ValueCountFrequency (%)
0.301 2
 
0.1%
0.7782 2
 
0.1%
0.9031 2
 
0.1%
0.9542 2
 
0.1%
1 1
 
0.1%
1.0414 1
 
0.1%
1.0792 10
0.5%
1.1461 1
 
0.1%
1.1761 3
 
0.2%
1.2041 15
0.8%
ValueCountFrequency (%)
5.1837 1
0.1%
4.5721 1
0.1%
4.4061 1
0.1%
4.4035 1
0.1%
4.3868 1
0.1%
4.3532 1
0.1%
4.3422 1
0.1%
4.3245 1
0.1%
4.323 1
0.1%
4.32 1
0.1%

Log_X_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct183
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3356861
Minimum0.301
Maximum3.0741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:46.591222image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.301
5-th percentile0.7782
Q11
median1.1761
Q31.5185
95-th percentile2.243
Maximum3.0741
Range2.7731
Interquartile range (IQR)0.5185

Descriptive statistics

Standard deviation0.48161161
Coefficient of variation (CV)0.36057244
Kurtosis-0.04144811
Mean1.3356861
Median Absolute Deviation (MAD)0.2219
Skewness1.0010141
Sum2592.5668
Variance0.23194974
MonotonicityNot monotonic
2024-05-08T12:27:46.876205image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9542 147
 
7.6%
1.0792 120
 
6.2%
0.9031 119
 
6.1%
1 116
 
6.0%
1.0414 112
 
5.8%
1.1139 90
 
4.6%
0.8451 81
 
4.2%
1.1461 70
 
3.6%
1.2305 58
 
3.0%
0.7782 58
 
3.0%
Other values (173) 970
50.0%
ValueCountFrequency (%)
0.301 2
 
0.1%
0.4771 3
 
0.2%
0.6021 10
 
0.5%
0.699 29
 
1.5%
0.7782 58
 
3.0%
0.8451 81
4.2%
0.9031 119
6.1%
0.9542 147
7.6%
1 116
6.0%
1.0414 112
5.8%
ValueCountFrequency (%)
3.0741 1
0.1%
2.9385 1
0.1%
2.9335 1
0.1%
2.918 1
0.1%
2.8882 1
0.1%
2.842 1
0.1%
2.8414 1
0.1%
2.8048 1
0.1%
2.7543 1
0.1%
2.7235 1
0.1%

Log_Y_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct217
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4032713
Minimum0
Maximum4.2587
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:47.181613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.699
Q11.0792
median1.3222
Q31.7324
95-th percentile2.2304
Maximum4.2587
Range4.2587
Interquartile range (IQR)0.6532

Descriptive statistics

Standard deviation0.45434516
Coefficient of variation (CV)0.32377571
Kurtosis0.38407733
Mean1.4032713
Median Absolute Deviation (MAD)0.2808
Skewness0.44510061
Sum2723.7496
Variance0.20642953
MonotonicityNot monotonic
2024-05-08T12:27:47.493775image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0792 92
 
4.7%
1.0414 87
 
4.5%
1 78
 
4.0%
1.1461 70
 
3.6%
1.1139 66
 
3.4%
1.1761 56
 
2.9%
0.9542 56
 
2.9%
0.9031 53
 
2.7%
1.301 51
 
2.6%
1.2553 47
 
2.4%
Other values (207) 1285
66.2%
ValueCountFrequency (%)
0 2
 
0.1%
0.301 6
 
0.3%
0.4771 23
 
1.2%
0.6021 44
2.3%
0.699 31
 
1.6%
0.7782 28
 
1.4%
0.8451 31
 
1.6%
0.9031 53
2.7%
0.9542 56
2.9%
1 78
4.0%
ValueCountFrequency (%)
4.2587 1
0.1%
2.776 1
0.1%
2.6294 1
0.1%
2.6181 1
0.1%
2.6149 1
0.1%
2.5922 1
0.1%
2.5752 2
0.1%
2.5527 1
0.1%
2.5515 1
0.1%
2.5052 1
0.1%

Orientation_Index
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct918
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.083287635
Minimum-0.991
Maximum0.9917
Zeros91
Zeros (%)4.7%
Negative778
Negative (%)40.1%
Memory size15.3 KiB
2024-05-08T12:27:47.783561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.991
5-th percentile-0.6713
Q1-0.3333
median0.0952
Q30.5116
95-th percentile0.8372
Maximum0.9917
Range1.9827
Interquartile range (IQR)0.8449

Descriptive statistics

Standard deviation0.50086805
Coefficient of variation (CV)6.0137143
Kurtosis-1.0446547
Mean0.083287635
Median Absolute Deviation (MAD)0.4181
Skewness-0.15344552
Sum161.6613
Variance0.2508688
MonotonicityNot monotonic
2024-05-08T12:27:48.099150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 91
 
4.7%
0.3333 23
 
1.2%
0.6667 21
 
1.1%
-0.2 21
 
1.1%
0.5 21
 
1.1%
0.2 21
 
1.1%
0.25 20
 
1.0%
0.1818 17
 
0.9%
-0.5 17
 
0.9%
0.1111 15
 
0.8%
Other values (908) 1674
86.2%
ValueCountFrequency (%)
-0.991 1
0.1%
-0.9739 1
0.1%
-0.9706 1
0.1%
-0.9604 1
0.1%
-0.9592 1
0.1%
-0.9559 1
0.1%
-0.9546 1
0.1%
-0.9514 1
0.1%
-0.9509 1
0.1%
-0.95 2
0.1%
ValueCountFrequency (%)
0.9917 1
0.1%
0.9607 1
0.1%
0.9578 1
0.1%
0.9552 1
0.1%
0.9481 1
0.1%
0.9467 1
0.1%
0.9463 1
0.1%
0.9431 1
0.1%
0.9419 1
0.1%
0.9388 1
0.1%

Luminosity_Index
Real number (ℝ)

HIGH CORRELATION 

Distinct1522
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.13130505
Minimum-0.9989
Maximum0.6421
Zeros1
Zeros (%)0.1%
Negative1714
Negative (%)88.3%
Memory size15.3 KiB
2024-05-08T12:27:48.421192image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-0.9989
5-th percentile-0.3479
Q1-0.195
median-0.133
Q3-0.0666
95-th percentile0.0376
Maximum0.6421
Range1.641
Interquartile range (IQR)0.1284

Descriptive statistics

Standard deviation0.14876684
Coefficient of variation (CV)-1.1329864
Kurtosis5.8067489
Mean-0.13130505
Median Absolute Deviation (MAD)0.063
Skewness0.67933872
Sum-254.8631
Variance0.022131573
MonotonicityNot monotonic
2024-05-08T12:27:48.736315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1851 6
 
0.3%
-0.1903 5
 
0.3%
-0.189 5
 
0.3%
-0.1797 4
 
0.2%
-0.112 4
 
0.2%
-0.1805 4
 
0.2%
-0.1865 4
 
0.2%
-0.1078 4
 
0.2%
-0.0935 4
 
0.2%
-0.0481 4
 
0.2%
Other values (1512) 1897
97.7%
ValueCountFrequency (%)
-0.9989 1
0.1%
-0.885 1
0.1%
-0.8603 1
0.1%
-0.6332 1
0.1%
-0.6096 1
0.1%
-0.6017 1
0.1%
-0.5971 1
0.1%
-0.594 1
0.1%
-0.5902 1
0.1%
-0.585 1
0.1%
ValueCountFrequency (%)
0.6421 1
0.1%
0.5917 1
0.1%
0.5916 1
0.1%
0.5909 1
0.1%
0.5799 1
0.1%
0.5613 1
0.1%
0.5591 1
0.1%
0.5552 1
0.1%
0.5518 1
0.1%
0.5237 1
0.1%

SigmoidOfAreas
Real number (ℝ)

HIGH CORRELATION 

Distinct388
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58542045
Minimum0.119
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:49.046747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0.119
5-th percentile0.1696
Q10.2482
median0.5063
Q30.9998
95-th percentile1
Maximum1
Range0.881
Interquartile range (IQR)0.7516

Descriptive statistics

Standard deviation0.33945181
Coefficient of variation (CV)0.57984275
Kurtosis-1.7076941
Mean0.58542045
Median Absolute Deviation (MAD)0.3098
Skewness0.12578852
Sum1136.3011
Variance0.11522753
MonotonicityNot monotonic
2024-05-08T12:27:49.342092image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 460
 
23.7%
0.1773 29
 
1.5%
0.2288 29
 
1.5%
0.2173 25
 
1.3%
0.1954 24
 
1.2%
0.2432 24
 
1.2%
0.2901 23
 
1.2%
0.2051 22
 
1.1%
0.9999 22
 
1.1%
0.3068 21
 
1.1%
Other values (378) 1262
65.0%
ValueCountFrequency (%)
0.119 2
 
0.1%
0.124 1
 
0.1%
0.1262 4
 
0.2%
0.1284 2
 
0.1%
0.1292 4
 
0.2%
0.1307 2
 
0.1%
0.1322 11
0.6%
0.133 1
 
0.1%
0.1353 5
0.3%
0.1361 2
 
0.1%
ValueCountFrequency (%)
1 460
23.7%
0.9999 22
 
1.1%
0.9998 16
 
0.8%
0.9997 5
 
0.3%
0.9996 4
 
0.2%
0.9995 2
 
0.1%
0.9994 2
 
0.1%
0.9993 3
 
0.2%
0.9992 2
 
0.1%
0.9991 2
 
0.1%

Minimum_of_Luminosity
Real number (ℝ)

HIGH CORRELATION 

Distinct161
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.548686
Minimum0
Maximum203
Zeros4
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size15.3 KiB
2024-05-08T12:27:49.661579image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q163
median90
Q3106
95-th percentile124
Maximum203
Range203
Interquartile range (IQR)43

Descriptive statistics

Standard deviation32.134276
Coefficient of variation (CV)0.3800683
Kurtosis0.11237035
Mean84.548686
Median Absolute Deviation (MAD)20
Skewness-0.10709776
Sum164109
Variance1032.6117
MonotonicityNot monotonic
2024-05-08T12:27:49.979403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 39
 
2.0%
91 38
 
2.0%
97 38
 
2.0%
104 37
 
1.9%
96 37
 
1.9%
95 36
 
1.9%
99 36
 
1.9%
84 35
 
1.8%
105 34
 
1.8%
120 33
 
1.7%
Other values (151) 1578
81.3%
ValueCountFrequency (%)
0 4
0.2%
4 1
 
0.1%
6 2
0.1%
7 1
 
0.1%
9 1
 
0.1%
11 2
0.1%
12 1
 
0.1%
14 1
 
0.1%
15 1
 
0.1%
16 2
0.1%
ValueCountFrequency (%)
203 1
 
0.1%
196 1
 
0.1%
195 2
0.1%
192 2
0.1%
191 1
 
0.1%
190 1
 
0.1%
179 2
0.1%
178 4
0.2%
177 1
 
0.1%
175 1
 
0.1%

Interactions

2024-05-08T12:27:20.706937image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:33.995724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:40.314457image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:47.787351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:57.300789image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:04.067917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:12.009406image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:18.352957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:26.768320image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:34.841814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:42.357107image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:48.548178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:57.628382image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:03.724172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:10.924973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:17.398331image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:25.313999image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:31.439869image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:38.807458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:44.922454image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:52.357854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:59.282586image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:06.774351image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:12.956686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:21.047314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:34.270684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:40.581310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:48.053575image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:57.642762image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:04.342927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:12.434539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:18.617383image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:27.104105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:35.098822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:42.617264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:48.803128image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:57.892867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:03.981758image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:11.174917image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:17.669486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:25.575598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:31.695886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:39.062914image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:45.167764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:52.602583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:59.556068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:07.029807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:13.206064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:21.399911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:34.554407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:40.860574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:48.318142image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:57.997622image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:04.638670image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:12.763469image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:18.964967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:27.396048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:35.369422image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:42.887129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:49.058799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:58.148310image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:04.252216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:11.438553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:17.924384image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:25.832303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:31.948706image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:39.416544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:45.452366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:52.856388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:59.824200image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:07.290458image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:13.467419image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:21.671716image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:34.821052image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:41.137157image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:48.575570image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:58.441634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2024-05-08T12:27:05.433130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:11.629176image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:19.314940image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:27.255038image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:39.225908image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:46.734463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:55.758777image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:03.011285image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:10.419318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:17.304684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:25.006387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:33.786394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:41.314087image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:47.457583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:56.597172image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:02.669759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:09.904642image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:16.341841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:24.281632image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:30.393667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:37.637023image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:43.892366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:51.308746image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:58.238600image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:05.699942image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:11.886079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:19.589390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:27.530322image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:39.501410image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:47.021256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:56.144355image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:03.285232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:10.854440image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:17.568002image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:25.474143image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:34.051166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:41.572163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:47.733203image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:56.876583image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:02.938306image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:10.171239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:16.641481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:24.545446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:30.665271image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:37.904161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:44.169813image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:51.578763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:58.513094image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:05.976428image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:12.160832image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:19.906621image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:27.803304image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:39.773299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:47.274180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:56.519414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:03.553816image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:11.215364image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:17.811165image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:25.920446image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:34.310525image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:41.826442image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:47.990330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:57.121667image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:03.222903image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:10.432257image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:16.900752image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:24.802636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:30.931901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:38.146295image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:44.410131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:51.832756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:58.770152image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:06.245939image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:12.419636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:20.169309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:28.053133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:40.032801image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:47.520793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:24:56.874771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:03.795418image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:11.585779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:18.057359image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:26.404126image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:34.555112image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:42.073830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:48.245845image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:25:57.368175image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:03.458079image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:10.665443image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:17.128386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:25.046366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:31.176209image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:38.434636image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:44.655186image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:52.090807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:26:59.010814image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:06.491974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:12.663476image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-05-08T12:27:20.436011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-05-08T12:27:50.304116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Edges_IndexEdges_X_IndexEdges_Y_IndexEmpty_IndexLength_of_ConveyerLogOfAreasLog_X_IndexLog_Y_IndexLuminosity_IndexMaximum_of_LuminosityMinimum_of_LuminosityOrientation_IndexOutside_Global_IndexOutside_X_IndexPixels_AreasSigmoidOfAreasSquare_IndexSteel_Plate_ThicknessSum_of_LuminosityTypeOfSteel_A300TypeOfSteel_A400X_MaximumX_MinimumX_PerimeterY_MaximumY_MinimumY_Perimeter
Edges_Index1.0000.2730.266-0.1640.125-0.386-0.281-0.4200.2310.1530.398-0.0290.116-0.283-0.386-0.3670.1700.174-0.3520.1660.1660.3910.459-0.352-0.027-0.027-0.420
Edges_X_Index0.2731.0000.186-0.4150.057-0.536-0.202-0.7300.0720.0070.206-0.5370.329-0.214-0.536-0.5560.238-0.008-0.5260.2060.2060.1650.192-0.5780.0360.036-0.685
Edges_Y_Index0.2660.1861.000-0.5720.127-0.551-0.808-0.350-0.161-0.2250.1880.5740.412-0.813-0.551-0.5970.0780.327-0.5740.2820.2820.2360.368-0.746-0.069-0.069-0.548
Empty_Index-0.164-0.415-0.5721.000-0.1660.3540.5110.3710.1700.1450.038-0.1420.1740.5300.3540.492-0.075-0.0690.3680.1410.141-0.162-0.2150.579-0.004-0.0040.471
Length_of_Conveyer0.1250.0570.127-0.1661.000-0.056-0.064-0.064-0.0370.052-0.0990.0720.107-0.182-0.056-0.0920.1570.194-0.0670.4340.4340.2550.246-0.099-0.009-0.009-0.096
LogOfAreas-0.386-0.536-0.5510.354-0.0561.0000.7900.909-0.2250.004-0.5840.0060.2880.7841.0000.977-0.247-0.2850.9850.4200.420-0.269-0.4160.8960.0450.0450.949
Log_X_Index-0.281-0.202-0.8080.511-0.0640.7901.0000.549-0.0550.127-0.429-0.5010.3310.9890.7900.819-0.060-0.3330.7950.3700.370-0.245-0.3920.8890.1030.1030.686
Log_Y_Index-0.420-0.730-0.3500.371-0.0640.9090.5491.000-0.250-0.051-0.5490.3310.3200.5510.9090.899-0.315-0.1860.8900.3560.356-0.263-0.3830.7790.0010.0010.957
Luminosity_Index0.2310.072-0.1610.170-0.037-0.225-0.055-0.2501.0000.8530.717-0.1820.182-0.036-0.225-0.2030.124-0.158-0.1050.2140.214-0.0180.008-0.085-0.077-0.077-0.181
Maximum_of_Luminosity0.1530.007-0.2250.1450.0520.0040.127-0.0510.8531.0000.415-0.1850.1330.1310.004-0.0030.111-0.1610.1110.3110.311-0.059-0.0780.094-0.062-0.0620.008
Minimum_of_Luminosity0.3980.2060.1880.038-0.099-0.584-0.429-0.5490.7170.4151.0000.0050.207-0.402-0.584-0.5160.0560.127-0.4960.3800.3800.1350.284-0.447-0.113-0.113-0.510
Orientation_Index-0.029-0.5370.574-0.1420.0720.006-0.5010.331-0.182-0.1850.0051.0000.784-0.4940.006-0.018-0.2260.317-0.0140.2660.2660.0490.148-0.192-0.130-0.1300.146
Outside_Global_Index0.1160.3290.4120.1740.1070.2880.3310.3200.1820.1330.2070.7841.000-0.422-0.004-0.042-0.0860.238-0.0220.0700.0700.0410.120-0.191-0.093-0.0930.098
Outside_X_Index-0.283-0.214-0.8130.530-0.1820.7840.9890.551-0.0360.131-0.402-0.494-0.4221.0000.7840.816-0.073-0.3620.7910.3320.332-0.273-0.4160.8880.1020.1020.689
Pixels_Areas-0.386-0.536-0.5510.354-0.0561.0000.7900.909-0.2250.004-0.5840.006-0.0040.7841.0000.977-0.247-0.2850.9850.1010.101-0.269-0.4160.8960.0450.0450.949
SigmoidOfAreas-0.367-0.556-0.5970.492-0.0920.9770.8190.899-0.203-0.003-0.516-0.018-0.0420.8160.9771.000-0.281-0.2540.9650.3310.331-0.274-0.4030.9280.0380.0380.956
Square_Index0.1700.2380.078-0.0750.157-0.247-0.060-0.3150.1240.1110.056-0.226-0.086-0.073-0.247-0.2811.000-0.102-0.2470.2310.2310.0810.086-0.2590.0180.018-0.342
Steel_Plate_Thickness0.174-0.0080.327-0.0690.194-0.285-0.333-0.186-0.158-0.1610.1270.3170.238-0.362-0.285-0.254-0.1021.000-0.3090.7240.7240.1440.251-0.278-0.196-0.196-0.236
Sum_of_Luminosity-0.352-0.526-0.5740.368-0.0670.9850.7950.890-0.1050.111-0.496-0.014-0.0220.7910.9850.965-0.247-0.3091.0000.1810.181-0.276-0.4200.8950.0240.0240.939
TypeOfSteel_A3000.1660.2060.2820.1410.4340.4200.3700.3560.2140.3110.3800.2660.0700.3320.1010.3310.2310.7240.1811.0000.9990.0650.147-0.2540.1850.185-0.354
TypeOfSteel_A4000.1660.2060.2820.1410.4340.4200.3700.3560.2140.3110.3800.2660.0700.3320.1010.3310.2310.7240.1810.9991.000-0.065-0.1470.254-0.185-0.1850.354
X_Maximum0.3910.1650.236-0.1620.255-0.269-0.245-0.263-0.018-0.0590.1350.0490.041-0.273-0.269-0.2740.0810.144-0.2760.065-0.0651.0000.949-0.2680.0320.032-0.276
X_Minimum0.4590.1920.368-0.2150.246-0.416-0.392-0.3830.008-0.0780.2840.1480.120-0.416-0.416-0.4030.0860.251-0.4200.147-0.1470.9491.000-0.409-0.004-0.004-0.412
X_Perimeter-0.352-0.578-0.7460.579-0.0990.8960.8890.779-0.0850.094-0.447-0.192-0.1910.8880.8960.928-0.259-0.2780.895-0.2540.254-0.268-0.4091.0000.0760.0760.881
Y_Maximum-0.0270.036-0.069-0.004-0.0090.0450.1030.001-0.077-0.062-0.113-0.130-0.0930.1020.0450.0380.018-0.1960.0240.185-0.1850.032-0.0040.0761.0001.0000.019
Y_Minimum-0.0270.036-0.069-0.004-0.0090.0450.1030.001-0.077-0.062-0.113-0.130-0.0930.1020.0450.0380.018-0.1960.0240.185-0.1850.032-0.0040.0761.0001.0000.019
Y_Perimeter-0.420-0.685-0.5480.471-0.0960.9490.6860.957-0.1810.008-0.5100.1460.0980.6890.9490.956-0.342-0.2360.939-0.3540.354-0.276-0.4120.8810.0190.0191.000

Missing values

2024-05-08T12:27:28.547910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-08T12:27:29.809521image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

X_MinimumX_MaximumY_MinimumY_MaximumPixels_AreasX_PerimeterY_PerimeterSum_of_LuminosityMaximum_of_LuminosityLength_of_ConveyerTypeOfSteel_A300TypeOfSteel_A400Steel_Plate_ThicknessEdges_IndexEmpty_IndexSquare_IndexOutside_X_IndexEdges_X_IndexEdges_Y_IndexOutside_Global_IndexLogOfAreasLog_X_IndexLog_Y_IndexOrientation_IndexLuminosity_IndexSigmoidOfAreasMinimum_of_Luminosity
04250270900270944267174424220108168710800.04980.24150.18180.00470.47061.00001.02.42650.90311.64350.8182-0.29130.582276
164565125380792538108108103011397123168710800.76470.37930.20690.00360.60000.96671.02.03340.77821.46240.7931-0.17560.298484
2829835155391315539317181979721251623101000.97100.34260.33330.00370.75000.94741.01.85130.77821.25530.6667-0.12280.215099
38538603693703694151761345189961261353012900.72870.44130.15560.00520.53851.00001.02.24550.84511.65320.8444-0.15680.521299
4128913064980784983352409602602469301261353011850.06950.44860.06620.01260.28330.98851.03.38181.23052.40990.9338-0.19921.000037
5430441100250100337630208762357127138701400.62000.34170.12640.00790.55001.00001.02.79931.04141.93950.8736-0.22670.987464
6413446138468138883905223043214819911991687011500.48960.33900.07950.01960.14350.96071.03.95671.51852.61810.92050.27911.000023
71902002109362109561321120200071721687011500.22530.34000.50000.00590.90911.00001.02.12061.00001.30100.50000.18410.3359124
83303434292274292532641526297481481687011500.39120.21890.50000.00770.86671.00001.02.42161.11391.41500.5000-0.11970.559353
974907791447793081506461671802151431687011500.08770.42610.09760.00950.34780.98201.03.17781.20412.21480.9024-0.06511.000053
X_MinimumX_MaximumY_MinimumY_MaximumPixels_AreasX_PerimeterY_PerimeterSum_of_LuminosityMaximum_of_LuminosityLength_of_ConveyerTypeOfSteel_A300TypeOfSteel_A400Steel_Plate_ThicknessEdges_IndexEmpty_IndexSquare_IndexOutside_X_IndexEdges_X_IndexEdges_Y_IndexOutside_Global_IndexLogOfAreasLog_X_IndexLog_Y_IndexOrientation_IndexLuminosity_IndexSigmoidOfAreasMinimum_of_Luminosity
1931523567266325266337209673026833141136001400.76910.60420.27270.03230.65670.40000.02.32011.64351.0792-0.72730.00300.8183119
1932239269276029276047299512237820140136001400.35150.44630.60000.02210.58820.81820.02.47571.47711.2553-0.4000-0.01180.8299116
19333674222896472896653551165846882143136001400.53970.64140.32730.04040.47410.31030.02.55021.74041.2553-0.67270.03170.9899123
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